AI Governance by Industry.
Every regulated sector sends the same kind of sensitive material into the same AI tools and faces a different body of regulation when it does. The DeepInspect gateway is identical across all of them. The detectors, the policy action maps, and the framework mapping are what change.
DeepInspect runs inline in front of the AI provider. Sensitive data is detected and transformed before the payload leaves the customer environment, and every decision is written to a tamper-evident forensic record. Each industry page below sets out the specific data classes, the risk surface, and the regulatory mapping for that sector.
Healthcare and Life Sciences
PHI detection, HIPAA-aligned audit, 21 CFR Part 11 records, and ICH GCP controls for clinical and research AI.
Pharmaceuticals
Compound, trial, and batch identifier detection with GxP-grade records for drug development and manufacturing AI.
Financial Services
NPI, PAN, and counterparty detection with examiner-grade audit for banking, markets, and fintech AI.
Insurance
Policyholder and claims data controls mapped to the NAIC Model Bulletin and state AI underwriting rules.
Government and Public Sector
Controls for federal, state, and local AI use mapped to FedRAMP, FISMA, and the NIST AI Risk Management Framework.
Legal
Privilege protection and ethical-wall enforcement with matter-level audit for law firms and in-house teams.
Manufacturing
Trade-secret and export-controlled technical data detection with evidence-grade records for engineering and plant AI.
B2B SaaS
Customer-tenant isolation and SOC 2 evidence for companies shipping AI features into regulated buyers.
Policy on every AI interaction, enforced before data leaves the boundary.